<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/DCEF118F-6AE7-4672-B15F-9CE560BD32CB" ns1:id="DCEF118F-6AE7-4672-B15F-9CE560BD32CB"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/8562C797-A843-4B60-882B-0C8C0E0112F3" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/AA493969-6FF9-4E9C-91BF-102009E3324E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/AA493969-6FF9-4E9C-91BF-102009E3324E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-07-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/A3983AFB-B395-4B43-A483-9BECB243933A" ns1:rel="FUND" ns1:start="2020-12-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">84877</ns2:identifier></ns2:identifiers><ns2:title>Miniaturised transport biosecurity system hardware that is 3D printed, next-generation, data-connected, machine learning with integrated biological configurability</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>BiologIC Technologies (Cambridge UK) is developing the next-generation of life science automation fabricated from, and exploiting, the digital benefits of 3D-printing. BiologIC's pioneering and highly integrated digital hardware architectures allow the creation of powerful and affordable 3D-printed bio-processing units (&amp;quot;BPUs&amp;quot;). These BPUs allow rapid development and execution of novel, high-value and high-volume biological workflows.

This project, which has already attracted strong interest from major stakeholders, develops towards world leading 3D-printed next-generation 4G/5G data-connected miniaturised transport biosecurity system hardware with integrated machine learning and biological configurability.

The platform enables highly-configurable, low-maintenance hardware for the continuous detection of pathogens. The final development could be applicable for civil or defence biosecurity applications for pandemic prevention purposes.</ns2:abstractText></ns2:project>